• DocumentCode
    1863979
  • Title

    BiCMOS Implementation of Cell Signaling for Cell Survival/Death

  • Author

    Jain, Shruti ; Naik, Pradeep K. ; Bhooshan, Sunil V.

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Jaypee Univ. of Inf. Technol., Solan, India
  • fYear
    2010
  • fDate
    9-10 Feb. 2010
  • Firstpage
    23
  • Lastpage
    26
  • Abstract
    A well-structured and controlled design methodology, along with a supporting hierarchical design system, has been developed to optimally support the development effort on several programs requiring gate array and semi custom Very Large Scale Integration (VLSI) design. In this paper, we will present an application of VLSI in System Biology. This work examines signaling networks that control the survival decision treated with combinations of three primary signals the pro death cytokine, tumor necrosis factor-¿ (TNF), and the pro survival growth factors, epidermal growth factor (EGF) and insulin. We have made model by taking three inputs, than made the truth table, Boolean equation and than implement the equation using BiCMOS logic circuit.
  • Keywords
    BiCMOS logic circuits; VLSI; cellular biophysics; tumours; BiCMOS logic circuit; VLSI design; cell signaling; cell survival/death; epidermal growth factor; gate array; insulin; pro death cytokine; pro survival growth factors; semicustom very large scale integration; signaling networks; system biology; tumor necrosis factor-¿; BiCMOS integrated circuits; Control systems; Design methodology; Epidermis; Equations; Insulin; Neoplasms; Optimal control; Systems biology; Very large scale integration; BiCMOS; Epidermal Growth Factor; Insulin; Tumor Necrosis Factor-a;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Acquisition and Processing, 2010. ICSAP '10. International Conference on
  • Conference_Location
    Bangalore
  • Print_ISBN
    978-1-4244-5724-3
  • Electronic_ISBN
    978-1-4244-5725-0
  • Type

    conf

  • DOI
    10.1109/ICSAP.2010.36
  • Filename
    5432635